Building data platform with ai feedback enrichment

A method, comprising:

• identifying, by one or more processing circuits, contextual data that describes an event in a virtual representation of a building;
• enriching, by the one or more processing circuits, the event with the contextual data;
• providing, by the one or more processing circuits, the event enriched with the contextual data to an artificial intelligence model, the artificial intelligence model trained to generate one or more predictions regarding at least one aspect of the building;
• receiving, by the one or more processing circuits, a first prediction generated by the artificial intelligence model using the event enriched with the contextual data;
• and
• providing, by the one or more processing circuits, to at least one of the artificial intelligence model or one or more second artificial intelligence models, the event enriched with the contextual data and the first prediction for subsequent generation of a second prediction.

A building system comprising:

• one or more memory devices having instructions thereon;
• and
• one or more processors configured to execute the instructions causing the one or more processors to:
• receive, from an artificial intelligence model, a first prediction generated using one or more first events enriched with contextual data;
• identify one or more second events or one or more second predictions associated with the first prediction;
• enrich the one or more second events or the one or more second predictions with the first prediction;
• and
• provide, based on a subscription, the one or more second events enriched with the first prediction or the one or more second predictions enriched with the first prediction.